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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 23629
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    Explanations

    phrases related to consistency and compliance

    oai_token-act-pair · gpt-3.5-turbo

    references to consistency in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    olit
    -0.85
    doors
    -0.83
    worms
    -0.76
    asus
    -0.73
    kamp
    -0.73
    crow
    -0.70
    OTOS
    -0.70
    uria
    -0.69
    rection
    -0.66
    doms
    -0.65
    POSITIVE LOGITS
    itarian
    1.02
    ively
    0.82
    ently
    0.79
    iated
    0.79
     offender
    0.78
    iary
    0.75
    ially
    0.74
    ITY
    0.74
    GoldMagikarp
    0.74
    ency
    0.72
    Activations Density 0.047%

    No Known Activations